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A Course in Machine Learning
> This makes complete sense geometrically, since all that matters is which side of the plane a test point falls on, now how far it is from that plane. *now...
In section 3.2, it says that the distance between and is given as sqrt(18), instead of sqrt(20) which is the correct answer.
The book describes the "question mark"-point as being closest to a negative point surrounded by a cloud of positive points, picture 3.4 shows the exact opposite truth. Picture 3.3 referenced...
may you share educational code for http://ciml.info/dl/v0_99/ciml-v0_99-ch17.pdf STRUCTURED PREDICTION it would be great to learn from python code example from you , who are world class specialist for STRUCTURED PREDICTION
The classification rule is that y = +1 if an only if x1 = x2, where the features are just ±1. if **and** only if
> But introducing a non-linearity at inner layers, this will give us non-linear decision boundaires. boundaries
>If I give you a data set and hyperplane that separates itthen the margin is the distance between the hyperplane and the nearest point. itthen
> I then give you a query example and you have to guess it’s label. It’s/its